diff options
Diffstat (limited to 'chapters/data_layout.adoc')
| -rw-r--r-- | chapters/data_layout.adoc | 118 |
1 files changed, 59 insertions, 59 deletions
diff --git a/chapters/data_layout.adoc b/chapters/data_layout.adoc index 4e6d24d..e764be9 100644 --- a/chapters/data_layout.adoc +++ b/chapters/data_layout.adoc @@ -20,7 +20,7 @@ Concatenate two tensors along a given axis. No data conversion happens during a |Input|in_t*|input1|shape1|Input tensor with rank from 1 to 4 |Input|in_t*|input2|shape2|Input tensor with rank matching input1 |Attribute|int|axis|-|Axis along which concatenation is to occur. -|Output|out_t*|output|shape|Output tensor of same type, size as the input tensor +|Output|in_t*|output|shape|Output tensor of same type, size as the input tensor |=== *Operation Function:* @@ -30,7 +30,7 @@ Concatenate two tensors along a given axis. No data conversion happens during a for_each (index1 in shape) { index2 = index1 index2[axis] = index1[axis] - shape1[axis] - value = (index2[axis] < 0) ? + in_t value = (index2[axis] < 0) ? tensor_read<in_t>(input1, shape1, index1) : tensor_read<in_t>(input2, shape2, index2) ; tensor_write<in_t>(output, shape, index1, value); @@ -40,13 +40,13 @@ for_each (index1 in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== PAD @@ -60,7 +60,7 @@ Zero-pads a tensor along borders of each dimension. |Input|in_t*|input1|shape1|Input tensor |Attribute|int|padding|[rank(input1),2]|Amount of padding to be done -|Output|out_t*|output|shape|Output tensor of same type as the input tensor +|Output|in_t*|output|shape|Output tensor of same type as the input tensor |=== *Quantization Parameters:* @@ -80,7 +80,7 @@ for_each (index in shape) { for (i=0; i<rank(shape); i++) { index1[i] = index1[i] - padding[i,0] } - value = tensor_read<in_t>(input1, shape1, index1, input1_zp, padding) + in_t value = tensor_read<in_t>(input1, shape1, index1, input1_zp, padding) tensor_write<in_t>(output, shape, index, value + input1_zp); } ---- @@ -88,13 +88,13 @@ for_each (index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== RESHAPE @@ -108,7 +108,7 @@ Returns a tensor with the same type/values as the input, with a new shape specif |Input|in_t*|input1|shape1|Input tensor |Attribute|int|new_shape|[rank(output)]|List of values, with each element giving the size of the result tensor for the given dimension. At most one dimension may be given as-1 to automatically calculate the dimension size. -|Output|out_t*|output|shape|Output tensor of same type, size as the input tensor +|Output|in_t*|output|shape|Output tensor of same type, size as the input tensor |=== *Operation Function:* @@ -124,13 +124,13 @@ for (i=0; i<tensor_size(shape); i++) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== REVERSE @@ -144,7 +144,7 @@ Returns a tensor with the same type/values as the input, with the data reversed |Input|in_t*|input|shape|Input tensor from 1 to 4 dims |Attribute|int|axis|-|Axis to reverse -|Output|out_t*|output|shape|Output tensor. Same shape as input tensor. +|Output|in_t*|output|shape|Output tensor. Same shape as input tensor. |=== *Operation Function:* @@ -155,7 +155,7 @@ assert(0<=axis && axis<rank(shape)) for_each (index in shape) { tmp_index = index; tmp_index[axis] = shape[axis]-1-index[axis]; - value = tensor_read<in_t>(input, shape, tmp_index); + in_t value = tensor_read<in_t>(input, shape, tmp_index); tensor_write<in_t>(output, shape, index, value); } ---- @@ -163,27 +163,27 @@ for_each (index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== SLICE -Extracts a slice of the input tensor 0 on the given axis, beginning at the start coordinates, and extending for size elements in each direction. No data conversion happens during a slice operation. +Extracts a slice of the input1 on the given axis, beginning at the start coordinates, and extending for size elements in each direction. No data conversion happens during a slice operation. *Arguments:* |=== |Argument|Type|Name|Shape|Description |Input|in_t*|input1|shape1|Input tensor with rank from 1 to 4 -|Attribute|int|start|[rank(input1)]|List of integer coordinates, of length equal to the rank of input 0. Start coordinate for slicing. -|Attribute|int|size|[rank(input1)]|List of integer size values, of length equal to the rank of input 0. Size of the input to be used. -|Output|out_t*|output|shape|Output tensor of same type as the input tensor +|Attribute|int|start|[rank(input1)]|List of integer coordinates, of length equal to the rank of input1. Start coordinate for slicing. +|Attribute|int|size|[rank(input1)]|List of integer size values, of length equal to the rank of input1. Size of the input to be used. +|Output|in_t*|output|shape|Output tensor of same type as the input tensor |=== *Operation Function:* @@ -195,7 +195,7 @@ for_each (index in shape) { for (i=0; i<rank(shape); i++) { tmp_index[i] = index[i] + start[i]; } - value = tensor_read<in_t>(input, shape1, tmp_index); + in_t value = tensor_read<in_t>(input, shape1, tmp_index); tensor_write<in_t>(output, shape, index, value); } ---- @@ -203,18 +203,18 @@ for_each (index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== TILE -Replicates input 0 multiplies times along each dimension. +Replicates input1 multiplies times along each dimension. *Arguments:* @@ -223,7 +223,7 @@ Replicates input 0 multiplies times along each dimension. |Input|in_t*|input1|shape1|Input tensor with rank from 1 to 4 |Attribute|int|multiplies|[rank(shape1)]|Number of times to replicate input1 in each dimension -|Output|out_t*|output|shape|Output tensor of same type, rank as the input tensor +|Output|in_t*|output|shape|Output tensor of same type, rank as the input tensor |=== *Operation Function:* @@ -236,7 +236,7 @@ for_each (index in shape) { assert(shape1[i] * multiplies[i] == shape[i]) tmp_index[i] = index[i] % shape1[i] } - value = tensor_read<in_t>(input, shape1, tmp_index); + in_t value = tensor_read<in_t>(input, shape1, tmp_index); tensor_write<in_t>(output, shape, index, value); } ---- @@ -244,13 +244,13 @@ for_each (index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== ==== TRANSPOSE @@ -264,7 +264,7 @@ Permutes the dimensions based on perm. |Input|in_t*|input1|shape1|Input tensor with rank from 1 to 4 |Attribute|int|perms|[rank(input1)]|List of integers of length equal to the rank of input1. -|Output|out_t*|output|shape|Output tensor of same type, rank as the input tensor +|Output|in_t*|output|shape|Output tensor of same type, rank as the input tensor |=== *Operation Function:* @@ -277,7 +277,7 @@ for_each (index in shape) { assert(shape1[perm[i]] == shape[i]) tmp_index[perm[i]] = index[i] } - value = tensor_read<in_t>(input, shape1, tmp_index); + in_t value = tensor_read<in_t>(input, shape1, tmp_index); tensor_write<in_t>(output, shape, index, value); } ---- @@ -285,11 +285,11 @@ for_each (index in shape) { *Supported Data Types:* |=== -|Profile|Mode|in_t|out_t +|Profile|Mode|in_t -|Any|Boolean|bool|bool -|Any|signed 8|int8/aint8|int8/aint8 -|Any|signed 16|int16|int16 -|Any|signed 32|int32|int32 -|MI, MT|float|float|float +|Any|Boolean|bool +|Any|signed 8|int8/aint8 +|Any|signed 16|int16 +|Any|signed 32|int32 +|MI, MT|float|float |=== |